It depends on how tightly clustered the observations are.
The answer would be different if the observations were 100, 102, 104, 107, 110, ... as opposed to 100, 150, 150, 150, 150, ... , 150, 220!
If, in a frequency distribution, the initial class interval is indeterminate at its beginning and/or the final class interval is indeterminate at its end, the distribution is said to possess "open ended" classes.
histogram
It depends whether or not the observations are independent and on the distribution of the variable that is being measured or the sample size. You cannot simply assume that the observations are independent and that the distribution is Gaussian (Normal).
49.0
It is the class interval with most number of observations.
it is a strong word that is used in expositions and arguments if data is in the form of frequency distribution then the modal range is the interval containing the highest frequency of observations
If, in a frequency distribution, the initial class interval is indeterminate at its beginning and/or the final class interval is indeterminate at its end, the distribution is said to possess "open ended" classes.
Yes.
Frequency density refers to the number of data points within a certain interval or range in a dataset. It is calculated by dividing the frequency of data points in a particular interval by the width of that interval. This measure helps to visualize and compare the distribution of data in a histogram or frequency distribution chart.
basically this is an exampleAGE (YEARS) FREQUENCY FREQUENCY DENSITYFD= Frequency DensityAge : 0
Cumulative percentage is another way of expressing frequency distribution. It calculates the percentage of the cumulative frequency within each interval, much as relative frequency distribution calculates the percentage of frequency.
class interval - one of several convenient intervals into which the values of the variate of a frequency distribution may be grouped.
histogram
if data is in the form of frequency distribution then the modal range is the interval containing the highest frequency of observations
It depends whether or not the observations are independent and on the distribution of the variable that is being measured or the sample size. You cannot simply assume that the observations are independent and that the distribution is Gaussian (Normal).
The midpoint of a frequency distribution is the value that divides the distribution into two equal parts. It is calculated by adding the lower and upper limits of a class interval and dividing the sum by 2.
The interval identifier for the keyword "frequency" is "f."